Coal identification device and coal quality online monitoring system based on radio frequency identification

Abstract

The invention provides a furnace coal identification device based on radio frequency identification and a coal quality online monitoring system, which can accurately identify and monitor the coal quality of the furnace coal. The monitoring system includes: a bidding machine for the coal conveyor, which writes the corresponding coal quality information into the radio frequency tag when the bucket wheel machine takes coal from the coal pile, and puts the tag on the coal conveyor belt of the bucket wheel machine; the furnace coal identification device, Identify the coal quality information recorded by each radio frequency tag located in the coal material of the coal feeder, including: multiple side radio frequency identification antennas, multiple end face radio frequency identification antennas and multiple top radio frequency identification antennas; and a furnace coal quality determination device, and The furnace coal identification device is connected by communication, and the abundance of the corresponding coal type in the coal feeder is judged according to the identified coal quality information of the spherical radio frequency tag in the coal feeder and the quantity and density of the spherical radio frequency tag; The flow rate and flow rate of the coal feeder are used to further correct the coal information into the furnace, so as to determine the coal quality of the coal material entering the coal-fired boiler in real time.

Description

technical field [0001] The invention belongs to the field of smart power plants, and in particular relates to a radio frequency identification-based furnace coal identification device and an online coal quality monitoring system. Background technique [0002] my country's thermal power units often need to achieve continuous operation under frequent and large changes in coal quality or even coal type. On the one hand, the type of coal designed for power plant boilers is affected by reserves and the market-oriented operation of coal mines, which cannot guarantee a stable supply throughout the life cycle of the power plant. , It has become an inevitable choice for most power plants to burn low-quality coal or mixed coal. This poses a challenge to the combustion optimization of power plant boilers. In fact, the combustion optimization strategy for different coal types and multi-coal mixed combustion has been initially established. However, the identification of incoming coal ha...

AI Technical Summary

Problems solved by technology

On the one hand, the type of coal designed for power plant boilers is affected by reserves and the market-oriented operation of coal mines, which cannot guarantee a stable supply throughout the life cycle of the power plant. , switching to low-quality coal or blending coal has become an inevitable choice for most power plants

This poses a challenge to the combustion optimization of power plant boilers. In fact, the combustion optimization strategy for different coal types and multi-coal mixed combustion has been initially established. However, the identification of incoming coal has caused a huge obstacle to the combustion optimization of coal-fired power plants.

Although the existing coal quality online detection has been able to achieve rapid detection at the minute level, it still cannot be used for real-time operation control to solve the combustion and coordination control problems caused by coal quality fluctuations. The main reasons are as follows:

[0003] (1) It is difficult to directly measure the quality of incoming coal

On the one hand, the online coal quality detection device is expensive. For mainstream high-power coal-fired units equipped with 5 to 6 coal pulverizers, it is necessary to configure an online coal pulverizer for direct online measurement of coal quality. The cost of testing equipment is too high; on the other hand, the entrance and exit of coal mills designed in typical power stations do not reserve corresponding space and configuration schemes to install sampling and online testing equipment. Therefore, the existing coal quality online testing device They are all installed on the coal loading belt, and the coal quality detected online needs to go through a large number of conveyor belts, coal plows, raw material storage and other links, often staying in the raw coal bunker for as long as 6 hours, which makes the online The detected coal quality is far from the actual coal into the furnace, so it cannot be directly used for online actual operation control, and can only be used as a reference for operators within a certain range

[0004] (2) There is a large uncertainty in estimating the quality of incoming coal by using online coal quality data

Under the premise that it is difficult to directly measure the coal quality of the furnace, it is theoretically feasible to estimate the coal quality of the furnace by using the coal quality of the upper coal and its related conveyor belts, coal plows, and raw coal bunkers, but there are great differences in practice. Certainty

Especially when the coal material passes through the raw coal bunker, on the one hand, it is difficult to measure the raw coal bunker material level, and the output of the material level measurement device based on point measurement is often caused by the collapse, pile height, and vibration of the top section of the material level in the bunker. There are large uncertainties due to other reasons, and the large cross-section of the silo makes the measurement time accuracy of the actual change of coal quality in the furnace deviate by several minutes, which exceeds the accuracy requirements required for real-time operation control. For the same raw coal bunker, its flow and mixing are very complicated, and the mobility of different coal types is quite different, so it is difficult to predict effectively

[0005] In summary, although various types of coal quality online detection devices have emerged, the accurate identification of coal into the furnace is still a key problem that most coal-fired power plants currently need to solve.

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